broom
Convert Statistical Objects into Tidy Tibbles
Summarizes key information about statistical objects in tidy tibbles. This makes it easy to report results, create plots and consistently work with large numbers of models at once. Broom provides three verbs that each provide different types of information about a model. tidy() summarizes information about model components such as coefficients of a regression. glance() reports information about an entire model, such as goodness of fit measures like AIC and BIC. augment() adds information about individual observations to a dataset, such as fitted values or influence measures.
- Version1.0.8
- R versionR (≥ 3.5)
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Languageen-US
- Last release03/28/2025
Documentation
Team
Simon Couch
MaintainerShow author detailsJorge Cimentada
Show author detailsRolesContributorMax Kuhn
Show author detailsRolesContributorDieter Menne
Show author detailsRolesContributorBill Denney
Kevin Zarca
Show author detailsRolesContributorBen Schneider
Show author detailsRolesContributorVincent Arel-Bundock
Jonah Gabry
Show author detailsRolesContributorHadley Wickham
Show author detailsRolesContributorAnnie Wang
Show author detailsRolesContributorBenjamin Nutter
Show author detailsRolesContributorLukasz Komsta
Show author detailsRolesContributorJim Hester
Show author detailsRolesContributorNic Crane
Show author detailsRolesContributorVilmantas Gegzna
Brenton M. Wiernik
Show author detailsRolesContributorAlessandro Gasparini
Show author detailsRolesContributorErwan Le Pennec
Show author detailsRolesContributorMatthew Kay
Show author detailsRolesContributorLuke Johnston
Show author detailsRolesContributorLuciano Selzer
Show author detailsRolesContributorAlex Hayes
Matthieu Stigler
Show author detailsRolesContributorWilson Freitas
Show author detailsRolesContributorDerek Chiu
Show author detailsRolesContributorYves Rosseel
Show author detailsRolesContributorTaren Sanders
Jason Cory Brunson
Show author detailsRolesContributorRoger Bivand
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Michal Bojanowski
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Matthew Lincoln
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Josh Yamamoto
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Jasper Cooper
Henrik Bengtsson
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Nicholas Williams
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Hao Zhu
Show author detailsRolesContributorHong Ooi
Show author detailsRolesContributorMichelle Evans
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Show author detailsRolesContributorJason Muhlenkamp
Show author detailsRolesContributorAndrew Bates
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Charles Gray
Angus Moore
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Wei Yang Tham
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Riinu Ots
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Simon Jackson
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Luis Tobalina
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Drew Tyre
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Chuliang Xiao
Frederick Novometsky
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Sven Templer
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Matt Lehman
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David Robinson
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Frederik Aust
Clara Wang
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Insights
Last 30 days
This package has been downloaded 828,626 times in the last 30 days. The kind of popularity that makes other researchers envious. Truly impressive! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 35,595 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 8,428,692 times in the last 365 days. This is the academic equivalent of going platinum. Except, you know, with more charts and fewer screaming fans. Congratulations! The day with the most downloads was Aug 20, 2024 with 53,260 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports11 packages
- Suggests80 packages
- Reverse Depends1 package
- Reverse Imports172 packages
- Reverse Suggests92 packages